"""正确率分析路由"""
from fastapi import APIRouter, HTTPException
from typing import Dict, Any, List, Optional

router = APIRouter()


@router.post("/analysis/error-attribution")
async def analyze_error_attribution(user_id: str, question_ids: List[str]):
    """错误归因分析"""
    from app.services.analysis_service import analysis_service
    result = await analysis_service.analyze_error_attribution(user_id, question_ids)
    return result


@router.get("/analysis/accuracy-prediction/{user_id}")
async def predict_accuracy(user_id: str, days_ahead: int = 30):
    """正确率预测"""
    from app.services.analysis_service import analysis_service
    result = await analysis_service.predict_accuracy(user_id, days_ahead)
    return result


@router.get("/analysis/weekly-goals/{user_id}")
async def get_weekly_goals(user_id: str):
    """获取阶段性目标（按周分解）"""
    # TODO: 实现阶段性目标生成逻辑
    return {
        "user_id": user_id,
        "current_week": 3,
        "weekly_goals": [
            {
                "week": 1,
                "target_accuracy": 65,
                "actual_accuracy": 65,
                "status": "completed"
            },
            {
                "week": 2,
                "target_accuracy": 68,
                "actual_accuracy": 68,
                "status": "completed"
            },
            {
                "week": 3,
                "target_accuracy": 72,
                "actual_accuracy": 72,
                "status": "completed"
            },
            {
                "week": 4,
                "target_accuracy": 75,
                "actual_accuracy": None,
                "status": "pending"
            }
        ]
    }


@router.post("/analysis/recommendations/{user_id}")
async def get_improvement_recommendations(user_id: str, error_type: Optional[str] = None):
    """获取提升方案推荐"""
    from app.services.analysis_service import analysis_service
    result = await analysis_service.get_recommendations(user_id, error_type)
    return result


@router.get("/analysis/statistics/{user_id}")
async def get_accuracy_statistics(user_id: str, period: str = "all"):
    """获取正确率统计"""
    # TODO: 实现正确率统计逻辑
    return {
        "user_id": user_id,
        "period": period,
        "overall_accuracy": 72.0,
        "accuracy_by_category": {
            "contract_law": 75.0,
            "criminal_law": 68.0,
            "civil_procedure": 72.0,
            "criminal_procedure": 58.0
        },
        "accuracy_trend": {
            "daily": [
                {"date": "2024-01-10", "accuracy": 70},
                {"date": "2024-01-11", "accuracy": 71},
                {"date": "2024-01-12", "accuracy": 72},
                {"date": "2024-01-13", "accuracy": 73},
                {"date": "2024-01-14", "accuracy": 72},
                {"date": "2024-01-15", "accuracy": 72}
            ],
            "weekly": [
                {"week": 1, "accuracy": 65},
                {"week": 2, "accuracy": 68},
                {"week": 3, "accuracy": 72}
            ]
        },
        "improvement_rate": 8.5
    }

